Evidence map›Paper›PMID 30002052›Full record

ArticleAJNR. American journal of neuroradiology2018

Application of 3D Fast Spin-Echo T1 Black-Blood Imaging in the Diagnosis and Prognostic Prediction of Patients with Leptomeningeal Carcinomatosis.

J Oh, S H Choi, E Lee, D J Shin, S W Jo, R-E Yoo, K M Kang, T J Yun, J-H Kim, C-H Sohn

Open access · hybridAbstract read
In one paragraph

Article in AJNR. American journal of neuroradiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
3.5field-weighted citation impact, top 7% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

23 citing papers in PubMed, 33 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
  4. Article
  5. Review
  6. Evaluation of CE-MATRIX-Enhanced FLAIR imaging in the detection of leptomeningeal metastasis.Cancer imaging : the official publication of the International Cancer Imaging Society · 2025
    Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Vessel wall MR imaging in neuroradiology.La Radiologia medica · 2022
    Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Review
  17. Article
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  20. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors at 2 institutions in 2 countries.

J OhFrom the Department of Radiology (J.O., S.H.C., E.L., D.J.S., S.W.J., R.-E.Y., K.M.K., T.J.Y., J.-h.K., C.-H.S.), Seoul National University Hospital, Seoul, Korea.ORCID 0000-0002-2516-2589
S H ChoiFrom the Department of Radiology (J.O., S.H.C., E.L., D.J.S., S.W.J., R.-E.Y., K.M.K., T.J.Y., J.-h.K., C.-H.S.), Seoul National University Hospital, Seoul, Korea verocay@snuh.org.ORCID 0000-0002-0412-2270
E LeeFrom the Department of Radiology (J.O., S.H.C., E.L., D.J.S., S.W.J., R.-E.Y., K.M.K., T.J.Y., J.-h.K., C.-H.S.), Seoul National University Hospital, Seoul, Korea.ORCID 0000-0002-2933-2995
D J ShinFrom the Department of Radiology (J.O., S.H.C., E.L., D.J.S., S.W.J., R.-E.Y., K.M.K., T.J.Y., J.-h.K., C.-H.S.), Seoul National University Hospital, Seoul, Korea.ORCID 0000-0002-8044-6277
S W JoFrom the Department of Radiology (J.O., S.H.C., E.L., D.J.S., S.W.J., R.-E.Y., K.M.K., T.J.Y., J.-h.K., C.-H.S.), Seoul National University Hospital, Seoul, Korea.ORCID 0000-0001-6755-3652
R-E YooFrom the Department of Radiology (J.O., S.H.C., E.L., D.J.S., S.W.J., R.-E.Y., K.M.K., T.J.Y., J.-h.K., C.-H.S.), Seoul National University Hospital, Seoul, Korea.ORCID 0000-0002-5625-5921
K M KangFrom the Department of Radiology (J.O., S.H.C., E.L., D.J.S., S.W.J., R.-E.Y., K.M.K., T.J.Y., J.-h.K., C.-H.S.), Seoul National University Hospital, Seoul, Korea.ORCID 0000-0001-9643-2008
T J YunFrom the Department of Radiology (J.O., S.H.C., E.L., D.J.S., S.W.J., R.-E.Y., K.M.K., T.J.Y., J.-h.K., C.-H.S.), Seoul National University Hospital, Seoul, Korea.ORCID 0000-0001-8441-4574
J-H KimFrom the Department of Radiology (J.O., S.H.C., E.L., D.J.S., S.W.J., R.-E.Y., K.M.K., T.J.Y., J.-h.K., C.-H.S.), Seoul National University Hospital, Seoul, Korea.ORCID 0000-0002-6349-6950
C-H SohnFrom the Department of Radiology (J.O., S.H.C., E.L., D.J.S., S.W.J., R.-E.Y., K.M.K., T.J.Y., J.-h.K., C.-H.S.), Seoul National University Hospital, Seoul, Korea.ORCID 0000-0003-0039-5746
Seoul National University · KRSeoul National University Hospital · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

background and purposeContrast-enhanced 3D fast spin-echo T1 black-blood imaging selectively suppresses the signal of blood flow and could provide a higher contrast-to-noise ratio compared with contrast-enhanced 3D ultrafast gradient recalled echo (contrast-enhanced gradient recalled echo) and 2D spin-echo T1WI (contrast-enhanced spin-echo). The purpose of our study was to evaluate whether black-blood imaging can improve the diagnostic accuracy for leptomeningeal carcinomatosis compared with contrast-enhanced gradient recalled-echo and contrast-enhanced spin-echo and, furthermore, to determine whether the grade of leptomeningeal carcinomatosis evaluated on black-blood imaging is a significant predictor of progression-free survival. MATERIALS AND

methodsLeptomeningeal carcinomatosis (

resultsBlack-blood imaging showed a significantly higher sensitivity (97.43%) than contrast-enhanced gradient recalled-echo (64.1%) and contrast-enhanced spin-echo (66.67%) (

conclusionsBlack-blood imaging can improve the diagnostic accuracy and predict progression-free survival in patients with leptomeningeal carcinomatosis.

Indexed as

AdultAgedContrast MediaFemaleHumansImage Interpretation, Computer-AssistedImaging, Three-DimensionalMagnetic Resonance ImagingMaleMeningeal CarcinomatosisMiddle AgedNeuroimagingPrognosisProgression-Free SurvivalRetrospective StudiesSensitivity and SpecificityContrast Media

Identifiers

PMID30002052
PMCPMC7410554
OpenAlexW2842290203

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.